Research Fellow, Living Analytics Research Centre

Sunday, 9 August 2020
End of advertisement period
Saturday, 5 September 2020
Contract Type
Fixed Term
Full Time

Contract end 31 Mar 2021 


  • Contract  
  • Middle Management  
  • PhD
  • Singapore 
  • Closing On 05 Sep 2020

About Us

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together – building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities – all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description

The Living Analytics Research Centre (LARC) is a research centre set up in Singapore Management University (SMU) with Carnegie Mellon University (CMU) as our strategic partner that focuses Urban and Community Livability, Personalised Urban Mobility, Jobs and Skills Intelligence, as well as Smart Consumption and Healthy Lifestyle. Candidates who join us can also expect to gain a deeper knowledge in the following areas such as Big Data Analytics, Data Mining, Machine Learning, Deep Learning, Human Computer Interaction, Urban Computing and other relevant disciplines.

  • Work with faculty researchers on research topics in the urban/social computing, smart cities and consumer business domains, namely Data and Text Mining, Machine Learning, Deep Learning, Crowdsourcing, Recommender Systems, Social-Urban Sensing and Big Data Infrastructure.
  • Required to design research methodologies and develop algorithms and models.
  • Required to design and conduct experiments, and implement applications, tools and systems.
  • Assist to develop analytics capabilities in big data infrastructure and conduct data science studies.


  • PhD in Computer Science or related disciplines
  • Good knowledge in relevant research topics and possess related research skills
  • Proficient in at least one or more of these programming languages: Java, Python, C#, C++ and C
  • Strong interest in human computer interaction and visualization is an added advantage
  • Self-motivated and able to carry out tasks independently
  • Excellent team player and possess strong inter-personal skills
  • Analytical and meticulous with attention to details

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